Neural networks have shown colossal accuracy in image classification and segmentation problems. In this project, we propose comparative studies of various deep learning models based on different types ...

which combine deep learning with classical machine learning algorithms that perform specific sub-tasks. Other vision problems besides basic image classification that have been solved with deep ...

LSTM/GRU Layers: Special types of RNN layers that are capable of learning long-term dependencies in sequence data. Dense Layers: After the sequence processing, one or more dense layers are used for ...

Purpose: To apply deep learning (DL) techniques to develop an automatic ... containing four types of MM with high OCT diagnostic values. Two DL classification algorithms were trained to identify the ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT ...

Deep learning algorithms can support the classification of skin lesions by fusing all the information together and evaluating it. Several such algorithms are already being developed. However ...

Load behaviors significantly impact the planning, dispatching, and operation of the modern power systems. Load classification has been proved as one of the most effective ways of analyzing the load ...

These concealing techniques make malware detection and classification significantly ... all new and complex malware variants. Deep learning (DL) approach which is quite different from traditional ML ...